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American Economic Review Vol. 115 No. 8 2025

Robustness Measures for Welfare Analysis

Zi Yang Kang1; Shoshana Vasserman2

1 Department of Economics, University of Toronto (email: ) · 2 Graduate School of Business, Stanford University, and NBER (email: )

Abstract

Economists routinely make functional form assumptions on demand curves to derive welfare conclusions. How sensitive are these conclusions to such assumptions? In this paper, we develop robustness measures that quantify the extent to which the true demand curve must deviate from common functional form assumptions in order to overturn a welfare conclusion. We parametrize this variability in terms of the gradient and curvature of the demand curve. By leveraging tools from information design, we show that our measures are easy to compute. Our measures are also flexible and easy to use, as we illustrate through empirical applications.

DOI
10.1257/aer.20220673
Volume
115
Issue
8
Pages
2449-2487
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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